Browsing by Author "Hasan, Mohammad Mahedy"

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A Dynamic Study on Energy Forecasts and The Potential of Renewable Energy Sources
(Daffodil International University, 2022-05-21) Noman, S. M.; Salehin, Imrus; Hasan, Mohammad Mahedy; Islam, Baki-Ul-; Haque, Obaidul; Haque, Ifranul
With developing countries, energy demand has been rapid over the years. Bangladesh contributes just 5% of the entire energy ratio in a proportion of renewable energy, and desire to 10% of the year 2025. Bangladesh is based on imported fossil fuel, which is quite expensive and uses natural gas for about 65% of energy production. Bangladesh is fortunate to have a small amount of fossil fuel, i.e., natural gas assets, but these are not adequate to meet the desired robust growth for glorious achievements in the government and non-government sectors. The sustainable power source is a key segment for improvement and has just made significant track in succeeding the greater part of the nation's power request; both in Urban and Rural territories. The motivation behind this study is to analyse energy forecasting for upcoming days and the potential of alternative renewable energy sources to assimilate a comparison in the general diagram of the power utilization of Bangladesh from a global perspective. Anticipating the future demand and looking at the competent outcomes of renewable energy may make urgency among the developing countries to satisfy the high future need for clean energy. In this article, we have focused our attention on the examination of sustainable power sources and the potential outcomes for future energy.
Electricity energy dataset “BanE-16”: Analysis of peak energy demand with environmental variables for machine learning forecasting
(Scopus, 2024) Salehin, Imrus; Noman, S.M.; Hasan, Mohammad Mahedy
The “BanE-16” dataset is a comprehensive repository integrating electricity grid dynamics with meteorological variables for machine learning-based energy forecasting. Featuring peak energy demand, environmental factors (temperature, wind speed, atmospheric pressure), and electricity generation statistics, this dataset enables intricate analysis of weather-energy correlations. Its multidimensional nature facilitates predictive modeling, exploring intricate dependencies, and optimizing energy infrastructure. Leveraging machine learning methodologies, this dataset stands as a catalyst for innovative forecasting models and informed decision-making in energy management. Its diverse variables offer a holistic perspective, empowering researchers to delve into nuanced interrelationships, paving the way for sustainable energy planning and predictive analytics in dynamic energy ecosystems. Its multivariate nature empowers sophisticated machine-learning models, enabling precise energy forecasts and infrastructure optimizations. Researchers leveraging this dataset unlock the potential to delve deeper into intricate weather-energy relationships, driving advancements in predictive analytics for sustainable energy management. The integration of diverse variables lays the groundwork for innovative methodologies, steering the trajectory of informed decision-making in dynamic energy landscapes.
Prospect of Tidal Power Generation at Dublar-char of Bangladesh Through Tidal Barrage Using Low Head Water Turbine
(Daffodil International University, 2020-01-10) Tofayel Ahmed, Md.; Hasan, Mohammad Mahedy
In this thesis the hydro potential suitable for electrical power generation available in coastal area of Bangladesh is Investigated and developed a model for total possible electrical power generation using tidal barrage and low head water turbine. Tidal power provides a great commitment as a way to generate huge amount of electrical energy in many parts of the world without having any carbon emission or harming environment in any other way. Many developed countries of the world now- a day’s moving towards the tidal power. As there are crisis of coastal areas of Bangladesh the tidal power can be used to mitigate the power crisis in those areas. Moreover, the establishment of small hydro power has the potential that can develop the local area. The idea of constructing a barrage of dublar char point is expected to make the best use of tidal energy available in the isolated area to solve the power crisis scenario in the place. This thesis presents the analysis of power generation at dublar char.
Tidal Power Plant Exploration
(Daffodil International University, 2022-12-29) Noman, S. M.; Hasan, Mohammad Mahedy; Haque, Obaidul; Islam, Baki-Ul-; Salehin, Imrus; Moon, Nazmun Nessa
Tidal energy is an environmentally benign, practical, and cost-effective renewable energy source. The hydropower potential appropriate site for electrical power production accessible in Bangladesh's coastline region is investigated in this article. We propose a model for determining the feasibility of power production via the tidal barrage system using a Compact Axial Kaplan (CAK) turbine in a low-head water turbine. Tidal power supplies enormous quantities of electrical energy in coastal locations across the globe without generating carbon or harming the environment. The world's wealthiest nations are increasingly resorting to tidal power generation. Where tidal power is available, we may be used tidal energy to alleviate the power shortage in coastal areas. A hydropower station may supply clean energy and fulfill a significant amount of the country's electrical demands. The notion of establishing a tidal power plant with a barrage model system would be a better long-term outlook for energy production and flourishing economic expansion. Dublar Char is an ideal location for tidal energy to be used to solve the electricity crisis in distant coastal regions. This article analyzes the electricity generating capability of Dublar Char, estimated at 120.17 megawatts (MW).